SCQ: Stage-Based, Context-Aware, QoE-Driven Power Optimization for Interactive Applications on Mobile Devices. - Chi-Kai Ho; Chung-Ta King; Yung-Ju Chang (MDM, 2019)

Accelerating Numerical Inverse Kinematics Methods with the Lookup Table. - Li-Wei Chan 002; Chi-Kai Ho; Chung-Ta King (CANDAR, 2022)

Improving Meta-imitation Learning with Focused Task Embedding. - Yu-Fong Lin; Chi-Kai Ho; Chung-Ta King (IntelliSys (3), 2022)

Selective Inverse Kinematics: A Novel Approach to Finding Multiple Solutions Fast for High-DoF Robotic. - Chi-Kai Ho; Chung-Ta King (CoRR, 2022)

KeyState: Improving Image-based Reinforcement Learning with Keypoint for Robot Control. - Ling-Chen Chen; Chi-Kai Ho; Chung-Ta King (ICIT, 2023)

Learning Diverse and Efficient Goal-reaching Policies for Robot Motion Planning. - Han-Cheng Yao; Chi-Kai Ho; Chung-Ta King (ISIE, 2023)

A Deep Learning Approach to Navigating the Joint Solution Space of Redundant Inverse Kinematics and Its Applications to Numerical IK Computations. - Chi-Kai Ho; Li-Wei Chan 002; Chung-Ta King; Ting-Yu Yen (IEEE Access, 2023)

CST-RL: Contrastive Spatio-Temporal Representations for Reinforcement Learning. - Chi-Kai Ho; Chung-Ta King (IEEE Access, 2023)

LAC-RRT: Constrained Rapidly-Exploring Random Tree With Configuration Transfer Models for Motion Planning. - Chi-Kai Ho; Chung-Ta King (IEEE Access, 2023)